CN114097001A - Computer-implemented method for providing a standardized location for anatomical data of a patient scan, computer-implemented method for performing standardized measurements on anatomical data of a patient scan, data processing system and computer-readable medium - Google Patents
Computer-implemented method for providing a standardized location for anatomical data of a patient scan, computer-implemented method for performing standardized measurements on anatomical data of a patient scan, data processing system and computer-readable medium Download PDFInfo
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- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
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- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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Abstract
The invention relates to a computer-implemented method for providing standardized positions for anatomical data (ASD) of a patient scan (10), in particular as a basis for individually adapting an orthosis or a prosthesis to a first patient. The method comprises the following steps: anatomical Structure Data (ASD) of a body part of a first patient is received, Template Structure Data (TSD) corresponding to the body part is received and/or selected, and a frame of the Template Structure Data (TSD) is used to adjust an orientation and/or posture (20) of the Anatomical Structure Data (ASD). Furthermore, the invention relates to a computer-implemented method, a data processing system and a computer-readable medium for standardized measurements of Anatomical Structure Data (ASD) of a patient scan (10).
Description
Technical Field
The invention relates to a computer-implemented method for providing standardized positions for anatomical data of a patient scan, in particular as a basis for individually adapting an orthosis or a prosthesis to a first patient. Furthermore, the invention relates to a computer-implemented method for performing standardized measurements on anatomical structure data of a patient scan, a data processing system and a computer-readable medium.
Background
Typically, the orthosis or prosthesis is manufactured separately and adjusted stepwise for the patient. To this end, a functional form can be created that replaces the patient's anatomy to fit an orthosis or prosthesis. In particular, for example, a licensed prosthetist/orthotist and/or an orthopedic technician manually adjusts an orthosis or prosthesis based on the patient's own anatomy/limb (such as the lower leg) or based on a functional form thereof. In this regard, a functional form of the patient's anatomy may be provided as a copy of the patient's anatomy that optionally becomes dense at the relevant area (such as the ankle) to provide a suitable basis for individually fitting an orthosis or prosthesis. In this regard, the visualized image of the three-dimensional structure digitally illustrating the scan data/anatomical structure data of the patient may further provide assistance to the support prosthesis/orthopaedic technician and/or orthopaedic technician.
However, such manual preparation and adjustment for patient-specific orthoses or prostheses not only takes time (and therefore leads to high costs), but also requires a substantial educational and background knowledge of the support prosthetist/orthopedist and/or the orthopedist, not only concerning professional knowledge, but also concerning processing by appropriate software. Thus, currently, the support prosthetist/orthopedic and/or orthopedic technician must receive additional training courses to handle the regular workflow, especially involving different types of software programs for digitally creating an adaptive orthosis or prosthesis individually.
Disclosure of Invention
It is an object of the present invention to provide an improved method for planning and/or manufacturing an orthosis or prosthesis. In particular, it is an object of the present invention to provide an improved method for providing a basis for individually fitting an orthosis or prosthesis. Preferably, the orthosis and/or prosthesis is individually adjusted and manufactured for the respective patient, wherein the process underlying such individual processing is time and cost efficient, easy to handle, and provides a standardized starting point for an individually created/adapted orthosis or prosthesis.
Furthermore, it is an object of the invention to provide a computer-implemented method for providing measurement results from data of a patient scan, a data processing system and a computer-readable medium.
The invention achieves these objects by providing a computer-implemented method according to claim 1 and claim 9, a data processing system according to independent claim 12 and a computer-readable medium according to claim 14. Further preferred embodiments of the invention are described in the dependent claims, respectively.
According to the present invention, there is provided a computer-implemented method for providing a standardized location of a patient scan, in particular as a basis for individually fitting an orthosis or a prosthesis to a (first) patient, the method comprising the steps of:
a) receiving anatomical structure data of a (first) patient, wherein the anatomical structure data comprises surface data of a body part of the first patient resulting from a patient scan;
b) receiving template structure data corresponding to a body part represented by anatomical structure data of a first patient, wherein the template structure data comprises surface data and a framework for simulating mechanical deformation of the surface data;
c) adjusting the orientation and/or pose of the anatomical structure data to align the anatomical structure data with the template structure data, comprising the steps of:
-mechanically deforming the template structure data to achieve a maximum similarity to the pose of the anatomical structure data;
-coupling the anatomical data with a frame of template structure data, such that a pose of the anatomical data is adjustable by a motion of the frame.
Alternatively, according to the invention, the potential object may be achieved by a computer-implemented method for providing standardized positions for anatomical data of a patient scan (in particular as a basis for individually adapting an orthosis or a prosthesis to a first patient), the method comprising the steps of:
a) receiving anatomical data of a body part of a first patient, wherein the anatomical data comprises surface data of the body part from a patient scan;
b) receiving and/or selecting template structure data corresponding to a body part,
wherein the template structure data comprises surface data and a framework for defining (in particular for defining) mechanical deformations (in particular mechanical deformations of the surface data);
c) using the framework of template structure data to adjust the orientation and/or pose of the anatomical structure data, comprising the steps of:
-mechanically deforming the template structure data provision to achieve a (maximum) similarity of pose with the anatomical structure data;
-coupling the anatomical structure data, in particular the surface data of the anatomical structure data, with the mechanically deformed template structure data, in particular a frame of the mechanically deformed template structure data, such that a pose of the anatomical structure data can be adjusted using the frame.
The invention is based on the following ideas: anatomical data of the first patient is prepared, preferably obtained from a patient scan of the respective anatomical structure (such as the lower leg of the first patient) to be oriented and comprising a standardized posture. Thus, further processing and adaptation and processing measurements on patient scan data/anatomical data are simplified for the support prosthetist/orthopaedic technician and/or orthopaedic technician.
In particular, serious problems resulting from further processing/automatically processing the data due to the orientation and/or posture of the anatomical data resulting from the patient scan of the patient can be avoided. The present invention thus solves the problem of requiring additional manual realignment/modification of data due to improper orientation and pose of anatomical data and resulting in an inability to accurately fit an orthosis or prosthesis alone.
Preferably, the anatomical data is provided by a patient scan, in particular by a three-dimensional scan of the anatomy/limb (such as the lower leg) of the first patient. For the purposes of the present invention, anatomical and template structure data may be considered as a two-dimensional data set or a three-dimensional data set.
The template structure data represents an exemplary dataset of the same or similar body parts/limbs represented by the provided anatomical structure data of the first patient. In one embodiment, the anatomical structure data and the template structure data refer to the same class of body parts/limbs, e.g., left lower leg or right lower leg. Alternatively, there may be a set of template structure data for symmetric body parts (e.g., left and right lower legs).
In particular, the template structure data preferably refers to a three-dimensional data set in a standardized position, thereby representing a standard with respect to its spatial orientation and posture in all three dimensions. Illustratively, the template dataset of the right lower leg is normalized in its spatial position with respect to the coordinate axes and the lower leg, in particular the tibial component and the foot are normalized in their posture with respect to each other.
By modifying the orientation and/or posture of the anatomical structure data of the first patient based on the template structure data, the position of the anatomical structure data resulting from the patient scan can be normalized, in particular as a basis for further processing of the anatomical structure data.
For the purposes of the present invention, the pose of the anatomical data preferably describes the relative position of a single feature of the first patient's anatomy, such as the positioning of the tibia region and the foot of the lower leg relative to each other. The orientation of the anatomical structure data preferably describes its spatial position, in particular with respect to the template structure data.
By providing a standardized position of the anatomical data, its pose and its spatial orientation are standardized, which in particular lays a solid foundation for further processing of the data.
According to a preferred embodiment, step a) and/or step b) further comprises:
-defining respective landmark points from the anatomical structure data and/or the template structure data.
In particular, landmark points may be defined at characteristic locations of body parts/anatomical structures.
Furthermore, any number of characteristic landmark points, e.g. up to 30, 25, 20, 15, 10, 5 or 3 landmark points, manually or automatically defined on the anatomical and template structure data of the first patient may be used. Most preferably, at least 5 or more marker points are used.
Furthermore, since there is a correlation between the continuously increasing number of characteristic parameters and the continuously increasing amount of necessary data, it is very advantageous to use as few marker points as possible. Thus, a large number of, for example, marker points may require more data, resulting in longer processing times.
In another embodiment of the present invention, adjusting the direction according to step c) further comprises:
applying a first rigid point cloud registration algorithm, in particular an Iterative Closest Point (ICP) algorithm, to landmark points of the anatomical data, and/or
-applying a second non-rigid point cloud registration algorithm, in particular a scaled iterative closest point (SCIP) algorithm, to the template structure data, such that the distance between the corresponding landmark points of the anatomical structure data and the template structure data, respectively, is minimized.
Thus, the position/orientation of the anatomical structure data may be adjusted to gradually match the template structure data. Further, the spatial size of the anatomical structure data and the spatial size of the template structure data may be adjusted by gradually scaling the spatial size of the template structure data.
Thus, by adjusting the orientation/spatial position and the spatial size, preferably in an iterative manner, the distance between the landmark points of the anatomical structure data and the landmark points of the template structure data is minimized. In particular, the sum of the distances between the landmark points of the anatomical structure data and the landmark points of the template structure data is minimized.
In a preferred embodiment, step c) further comprises:
identifying first features of the anatomical structure data and the template structure data,
-aligning a first feature of the anatomical structure data with a first feature of the template structure data by applying a first rigid point cloud registration algorithm,
wherein the first feature of the anatomical structure data is aligned with the first feature of the template structure data before the pose of the anatomical structure data of the first patient is adjusted (in particular normalized), in particular before the template structure data and/or the anatomical structure data are mechanically deformed.
The first feature of the anatomical structure data and the template structure data may be the foot, sole, etc. of the lower leg, in particular a point/landmark point of the anatomical structure data/template structure data, respectively. For example, the first feature may be identified by a particular set of landmark points, or may be manually identified by a support prosthetist/orthopedic technician and/or an orthopedic technician.
By fixing the first feature of the anatomical data, the pose of the remaining portion thereof relative to the first feature may be modified.
Furthermore, for the present invention, aligning the anatomical and template structure data by applying a rigid point cloud registration algorithm preferably refers to reducing/minimizing the sum of the distances between corresponding landmark points of the anatomical and template structure data.
In another embodiment, the method, especially step c), further comprises the steps of:
-determining a conversion element between a second feature of the anatomical structure data (in particular a tibial portion) and a second feature of the template structure data;
-coupling the Anatomical Structure Data (ASD) to a framework of Template Structure Data (TSD),
applying a transformation element (in particular as an inverse transformation element) to the anatomical data (in particular to a frame coupled to the anatomical data),
wherein the anatomical data is rotated in combination with the frame, in particular only the second feature (CP2-ASD) of the anatomical data (ASD) is rotated by the frame, thereby providing the anatomical data of the first patient in a standardized posture.
The second feature of the anatomical structure data and the template structure data may be a tibial part of the lower leg, in particular a (landmark) point corresponding to the tibial part of the lower leg. Thus, by modifying the pose of the anatomical data, for example, the relative position between the tibial portion as the second feature and the foot portion as the first feature of the first patient's lower leg may be adjusted.
Advantageously, a standardized posture of the anatomical data may be achieved irrespective of the posture of the first patient body part/limb during the patient scan.
In a preferred embodiment, the standardized posture of the anatomical data includes a 90 degree angle between a first feature and a second feature of the anatomical data of the first patient.
According to another embodiment, the transformation element is a vector for pose adjustment of at least a part of the anatomical data of the first patient, in particular for pose adjustment/correction/normalization of the anatomical data for a second feature (e.g. a tibial feature) relative to the first feature (e.g. a foot).
In one embodiment, the method further comprises the steps of:
-a visualization image of a first three-dimensional structure illustrating at least anatomical structure data of a first patient, and/or
-a visualization image illustrating at least the second three-dimensional structure of the template structure data.
In particular, the anatomical structure data of the first patient and the template structure data may be visualized as a three-dimensional structure for illustration by a display or the like.
Thus, the patient's anatomy/limb based on the anatomy data and template structure data may be visually assessed, for example, by the first patient and/or a licensed prosthetist/orthopedic technician and/or an orthopedic technician.
In a further aspect of the invention, a computer-implemented method for performing standardized measurements on anatomical data of a patient scan, in particular as a basis for individually fitting an orthosis or a prosthesis to a first patient, comprises the steps of:
a) receiving anatomical data of a body part of a first patient;
b) receiving and/or selecting template structure data corresponding to a body part;
c) preferably by the method according to the invention, the orientation and/or posture of the anatomical data is adjusted to a standardized position;
d) identifying at least one intersection point between the anatomical structure data and at least one predetermined cross section of the template structure data;
e) the at least one standardized measurement is processed according to the at least one intersection point to obtain at least one measurement value, in particular a circumference, a length, etc., of the anatomical data of the first patient.
The at least one normalized measurement is based on an intersection/overlap of at least one cross-section of the template structure data with the anatomical structure data. So that values for the circumference, length, volume of the cross-section, etc. of the anatomical data can be determined.
By providing a standardized location of the anatomical data prior to the measurement, the measurement accuracy may be improved by such standardized measurement.
In a preferred embodiment, the method further comprises:
providing a measuring table (in particular a measuring form) identifying at least one measuring parameter,
wherein the at least one obtained measurement value of the first patient corresponds to the at least one measured parameter.
In a further embodiment, the at least one section of the template structure data is predetermined based on the meter, in particular based on at least one measurement parameter as provided by the meter.
Preferably, the measurement list is a form for making measurements from a body part/limb (such as the lower leg) for identifying the particular measurement parameters of interest to the certified prosthetist/orthopaedic technician and/or orthopaedic technician. At least one section of the template structure data may be predefined according to a measurement table.
Thus, standardized measurements and measurement values of the anatomical data of the first patient may be provided. Due to the standardized location of the anatomical data and the standardized measurement parameters, normalizing the measurements may enable a constant and high accuracy of the anatomical data of a plurality of different patients.
According to one/another aspect of the present invention there is provided a data processing system comprising means for performing the steps of the method of any preceding claim.
In one embodiment, at least one client and at least one server are provided, wherein the client is capable of sending anatomical structure data of a first patient to the server and receiving measurements of the first patient from the server, and wherein the at least one server is capable of:
-receiving anatomical structure data of a first patient from a client,
adjusting the orientation and/or posture of the anatomical structure data relative to the template structure data,
processing the at least one standardized measurement from anatomical data of the first patient,
-providing the at least one measurement value of the anatomical data of the first patient to the client, preferably in the form of a complete measurement table comprising the at least one measurement value.
In another aspect, the invention relates to a computer-readable medium comprising instructions which, when executed by a computer, cause the computer to carry out the steps of at least one of the methods according to the invention.
Thus, for the present invention, a method/device may be provided, wherein the manufacturing data are derived from anatomical data (in particular arranged at standardized positions) comprising adjusted directions and/or postures, and wherein the orthosis/prosthesis is produced in accordance with the manufacturing data.
Drawings
The invention is explained in more detail below with reference to the drawings. However, other examples of the invention that may be envisaged should not be excluded accordingly.
The figures schematically illustrate:
FIG. 1: an exemplary flow chart of a method for providing measurements from anatomical data of a patient scan at a standardized location;
fig. 2a to 2 f: a process of adjusting the anatomical data to a standardized position; and
FIG. 3: template structure data comprising a plurality of sections.
Detailed Description
Fig. 1 shows an exemplary method for providing measurements from anatomical data ASD of a patient scan, which measurements correspond to a standardized position and/or alignment/orientation.
In a first step, a patient scan 10 of the patient's anatomy/limb is provided to obtain anatomy data ASD, e.g. of the first patient's lower leg. The patient scan 10 may be acquired/generated by a client located at the site of the first patient and/or the certified prosthetic/orthotic technician and/or orthopedic technician.
The anatomical data ASD is then provided to a server for further processing.
In particular, in a second step, a computer-assisted adjustment of the (spatial) orientation and/or posture 20 of the anatomical data ASD is performed. To this end, the template structure data TSD comprising the standardized location is preferably loaded/provided by the server.
In the illustrated embodiment, the server may include template structure data TSD for different body parts/limbs. The corresponding template structure data TSD is selected automatically by the server or manually based on anatomical structure data ASD representing a patient scan ASD of the first patient, e.g. the right lower leg or the left lower leg. In one embodiment, the template structure data TSD is selected based on user input.
The template structure data TSD may also comprise any number of landmark points, e.g. less than 20 or less than 10 landmarks, preferably at least 5 landmark points. Such landmark points may also be defined automatically and/or manually for the anatomical structure data ASD to provide corresponding landmark points compared to the template structure data TSD. Preferably, the landmarks are defined by and/or assigned to a set of specific template structure data TSD.
In a next step, the standardized measurements 30 may be processed on the aligned/repositioned anatomical data ASD. By providing a standardized position of the anatomical data (with respect to spatial orientation and posture), a standardization of the measurements is achieved.
Furthermore, the server may comprise a plurality of measurement tables MF (preferably in the form of measurement tables and/or measurement tables) for different body parts, which tables specify the relevant measurement parameters for the support prosthesis/orthotist and/or the orthopaedist. Thus, the server may provide the corresponding measurement form MF based on the body part/anatomy represented by the anatomical structure data ASD of the first patient. In one embodiment, the points between which the measurements are made and/or the planes used to extract certain measurements are stored together with the template structure data TSD. In other words, the template structure data TSD may be used not only for aligning/rearranging the anatomical structure data ASD, but also for identifying landmarks and/or at least one plane for calculating/measuring the measurements (e.g. of the measurement table MF). It is clear that the measurement MF is not mandatory. Measurements can be used/processed without involving measurements in MF.
The normalization of the anatomical data ASD measurements is further achieved by using a corresponding measurement table MF. In particular, standardized measurements can be automatically performed on this basis. Thus, the measurement form MF can also be automatically filled in/completed.
In a final step, the completed measurement form cMF is provided to/received by the client 40 and may be reviewed by the first patient and/or a certified prosthetist/orthopedic technician and/or orthopedic technician at the local site.
Fig. 2a to 2f show a procedure for adjusting anatomical data ASD of a first patient to a standardized position at which a measurement is taken.
Fig. 2a shows the original arrangement of anatomical structure data ASD as obtained from a patient scan 10 and template structure data TSD. In this step, landmark points may be automatically and/or manually defined on the anatomical data. Preferably, the template structure data TSD already comprises such marker points after the initial definition before using the data set.
In fig. 2b, a first rigid point cloud registration algorithm, preferably an Iterative Closest Point (ICP) algorithm, is applied to the first patient's anatomical data ASD. By applying the first rigid point cloud registration algorithm, the distance between the corresponding landmark points of the anatomical data ASD and the corresponding landmark points of the template structural data TSD is minimized by moving/repositioning the anatomical data. In particular, the sum of distances between the marker points can be reduced/minimized. Thus, the preliminary alignment of the anatomical structure data ASD of the first patient with the template structure data TSD is preferably achieved in an iterative manner and thus step by step.
Fig. 2c shows rescaling of the template structure data TSD by applying a second non-rigid point cloud registration algorithm, in particular a Scale Iterative Closest Point (SICP) algorithm, to the template structure data TSD. In the process, the template structure data TSD is rescaled such that the distance, in particular the sum of the distances, between the landmark points of the anatomical structure data ASD and the template structure data TSD is minimized.
In fig. 2d, the first feature CP1-ASD of the anatomical data and the first feature CP1-TSD of the template structure data TSD are identified and aligned with each other by applying a first rigid point cloud registration algorithm to the anatomical data ASD, in particular to the landmark points of the anatomical data ASD, in order to minimize the distance between the landmark points.
In fig. 2e, the transformation elements (preferably in the form of transformation vectors) are determined such that the second characteristic points CP2-TSD of the template structure data TSD and the second characteristic points CP2-ASD of the anatomical structure data ASD are aligned with each other, wherein the first characteristic points CP 1-ASD; the CP1-TSD remain aligned with each other. Thus, a transformation element is realized which represents the necessary transformation of the anatomical data ASD, in particular of the second characteristic portion CP2-ASD of the anatomical data ASD, to provide a standardized pose (in particular relating to a standardized angular disposition of the first characteristic portion CP1-ASD and the second characteristic portion CP2-ASD of the anatomical data ASD). Thus, the anatomical data ASD may be coupled to a framework of the template structure data TSD, thereby spatially fixing the anatomical data ASD. Thus, the first and second features CP1-ASD and CP2-ASD of the anatomical structure data ASD and the first and second features CP1-TSD and CP2-TSD of the template structure data TSD may both be spatially fixed to the frame. Alternatively, by coupling the anatomical structure data ASD to the frame, the template structure data TSD may be decoupled from the frame, thereby restoring its original posture, in particular the standardized posture.
Fig. 2f shows the normalized position of the alignment of the anatomical structure data ASD with the template structure data TSD after applying the inverse transformation elements, in particular the inverse transformation vectors, to the anatomical structure data ASD, in particular to the frame coupled to the anatomical structure data ASD. Thus, the second feature CP2-ASD of the anatomical structure data is rotated to align with the second feature CP2-TSD of the template structure data TSD. The pose adjustment/correction is performed on the anatomical data ASD, in particular in order to obtain a standardized pose of the anatomical data ASD.
Preferably, an angle of 90 degrees between the first feature CP1-ASD and the second feature CP2-ASD (e.g., foot and shin part) of the anatomical data ASD is implemented as a standardized pose.
Finally, the spatial orientation and posture of the anatomical structure data ASD is adjusted and modified to align with the template structure data TSD, thereby converting it into a standardized position.
FIG. 3 shows a cross-section comprising a plurality of sections SP 1; SP 2; SP 3; SP 4; SP 5; template structure data TSD of SP 6.
A section SP1 of the template structure data TSD if the anatomical structure data is adjusted to include a normalized position as shown in fig. 2 f; SP 2; SP 3; SP 4; SP 5; SP6 may be used for standardized measurements of anatomical data ASD.
In particular, the cross-section SP 1; SP 2; SP 3; SP 4; SP 5; the SP6 performs the standardized measurement 30 according to fig. 1 at the overlap/intersection with the anatomical data ASD. Thus, the circumference, length, cross-sectional volume, etc. of the anatomical data ASD of the first patient may be measured in a standardized manner.
According to fig. 3, a section SP1 preferably specified by a measuring table/measuring guide; SP 2; SP 3; SP 4; SP 5; the SPs 6 are distributed along the first feature CP1-TSD and the second feature CP2-TSD of the template structure data. Further, the second section SP2 is arranged in a contact region of the first and second feature points CP1-TSD and CP2-TSD of the template structure data TSD.
Section SP 1; SP 2; SP 3; SP 4; SP 5; the SPs 6 may be arranged orthogonal to the coordinate axes of the template structure data TSD or in an angled manner, for example, as shown by the second plane SP 2. Thus, the first patient may be determined from the anatomical data of the first patient and based on the cross-section SP 1; SP 2; SP 3; SP 4; SP 5; SP6 makes any standardized measurements.
In summary, the present invention provides for an automatic repositioning (in particular a reorientation and reconfiguration of a pose) of anatomical data of a first patient to ensure a standardized position of the anatomical data for further processing thereof. Thus, a universal and solid foundation for manufacturing a particular patient prosthesis or orthosis is laid.
Furthermore, the invention provides a standardized measurement of standardized positions and cross sections based on anatomical data, preferably based on a table of measurements of specific anatomical structures/body parts/limbs, such as the lower leg. Thus, it is also possible to ensure an automated measurement standardization with high accuracy processing of anatomical structure data of various patients.
Thus, an automated standardization for processing anatomical data generated by a patient scan is achieved.
Tag list
10 patient scanning
20 adjusting direction and/or posture
30 standardized measurements
40 provide/receive completed meters (cMF)
ASD anatomical structure data
CP 1-first feature of ASD, e.g. foot
CP 1-first feature of TSD, e.g. foot
CP 2-second feature of ASD, e.g. tibial component
CP 2-second feature of TSD, e.g. tibial
cMF completed measuring meter
MF measuring meter
SP1-SP6 (of template structure data) Cross-sections
TSD template structure data
Claims (14)
1. Computer-implemented method for providing standardized positions for anatomical data (ASD) of a patient scan (10), in particular as a basis for individually adapting an orthosis or a prosthesis to a first patient, comprising the steps of:
a) receiving Anatomical Structure Data (ASD) of a body part of the first patient,
wherein the anatomical data (ASD) comprises surface data of the body part from the patient scan (10);
b) receiving and/or selecting Template Structure Data (TSD) corresponding to the body part,
wherein the Template Structure Data (TSD) comprises surface data and a framework for defining, in particular for defining, mechanical deformations, in particular of the surface data;
c) adjusting the orientation and/or posture (20) of the Anatomical Structure Data (ASD) using the frame of the Template Structure Data (TSD), comprising the steps of:
-mechanically deforming the Template Structure Data (TSD) to achieve a (maximum) similarity to a pose of the Anatomical Structure Data (ASD);
-coupling the Anatomical Structure Data (ASD), in particular the surface data of the Anatomical Structure Data (ASD), with the mechanically deformed Template Structure Data (TSD), in particular the frame of the mechanically deformed Template Structure Data (TSD), such that a pose of the Anatomical Structure Data (ASD) can be adjusted using the frame.
2. The method according to claim 1,
step a) and/or step b) further comprises:
-defining respective landmark points from the Anatomical Structure Data (ASD) and/or the Template Structure Data (TSD).
3. The method according to claim 2,
adjusting the direction according to step c) further comprises:
-applying a first rigid point cloud registration algorithm, in particular an iterative closest point algorithm, to the landmark points of the anatomical data (ASD), and/or
-applying a second non-rigid point cloud registration algorithm (in particular a scaled iterative closest point algorithm) to the Template Structure Data (TSD),
such that the distance between the respective landmark point of the Anatomical Structure Data (ASD) and the respective landmark point of the Template Structure Data (TSD) is minimized, respectively.
4. The method according to any of the preceding claims,
step c) further comprises:
-identifying first features (CP 1-ASD; CP1-TSD) of the Anatomical Structure Data (ASD) and the Template Structure Data (TSD),
-aligning the first feature (CP1-ASD) of the Anatomical Structure Data (ASD) with the first feature (CP1-TSD) of the Template Structure Data (TSD) by applying the first rigid point cloud registration algorithm,
wherein the first feature (CP1-ASD) of the Anatomical Structure Data (ASD) is aligned with the first feature (CP1-TSD) of the Template Structure Data (TSD) before the pose of the Anatomical Structure Data (ASD) of the first patient is adjusted, in particular before the Template Structure Data (TSD) and/or the Anatomical Structure Data (ASD) are mechanically deformed.
5. The method according to any of the preceding claims,
the method, in particular step c), further comprises the steps of:
-determining a conversion element between a second feature (CP2-ASD), in particular a tibial portion, of the Anatomical Structure Data (ASD) and a second feature (CP2-TSD) of the Template Structure Data (TSD);
-coupling the Anatomical Structure Data (ASD) onto the frame of the Template Structure Data (TSD),
-applying the conversion element (in particular as an inverse conversion element) to the Anatomical Structure Data (ASD), in particular to the frame coupled with the Anatomical Structure Data (ASD),
wherein the anatomical data (ASD) is rotated in combination with the frame, in particular only the second feature (CP2-ASD) of the anatomical data (ASD) is rotated by the frame, thereby providing the anatomical data (ASD) of the first patient in a standardized posture.
6. The method according to any of the preceding claims,
the standardized posture of the anatomical data (ASD) comprises a 90 degree angle between the first and second characteristic points (CP 1-ASD; CP2-ASD) of the anatomical data (ASD) of the first patient.
7. The method according to any of the preceding claims,
the conversion element is a vector for postural adjustment of at least a part of the anatomical data (ASD) of the first patient.
8. The method according to any of the preceding claims,
the method further comprises the steps of:
-a visualization image of a first three-dimensional structure illustrating at least the Anatomical Structure Data (ASD) of the first patient, and/or
-a visualization image illustrating at least a second three-dimensional structure of the Template Structure Data (TSD).
9. Computer-implemented method for performing standardized measurements on anatomical data (ASD) of a patient scan (10), in particular as a basis for individually fitting an orthosis or a prosthesis to a first patient, comprising the steps of:
a) receiving Anatomical Structure Data (ASD) of a body part of the first patient;
b) receiving and/or selecting Template Structure Data (TSD) corresponding to the body part;
c) -adjusting the orientation and/or posture (20) of the anatomical data (ASD) to a standardized position, preferably by a method according to any of the preceding claims;
d) identifying at least one predetermined cross-section (SP 1; SP 2; SP 3; SP 4; SP 5; SP 6);
e) processing at least one standardized measurement (30) according to the at least one intersection point to obtain at least one measurement value, in particular circumference, length, etc., of the Anatomical Structure Data (ASD) of the first patient.
10. The method of claim 9, further comprising:
-providing a Measurement Form (MF), in particular a measurement form, which identifies at least one measurement parameter,
wherein the at least one obtained measurement value of the first patient corresponds to the at least one measured parameter.
11. The method according to claim 9 or 10,
the at least one cross section (SP 1; SP 2; SP 3; SP 4; SP 5; SP6) of the Template Structure Data (TSD) is predetermined on the basis of the measurement table (MF), in particular on the basis of the at least one measurement parameter as provided by the measurement table (MF).
12. A data processing system comprising means for performing the steps of the method according to any of the preceding claims.
13. The data processing system of claim 12,
providing at least one client and at least one server, wherein the client is capable of sending the Anatomical Structure Data (ASD) of the first patient to the server and receiving the measurements of the first patient from the server, and wherein the at least one server is capable of:
-receiving the Anatomical Structure Data (ASD) of the first patient from the client,
-adjusting the orientation and/or posture (20) of the Anatomical Structure Data (ASD) relative to the Template Structure Data (TSD),
-processing at least one standardized measurement (30) from the anatomical data (ASD) of the first patient,
-providing the at least one measurement value of the Anatomical Structure Data (ASD) of the first patient to the client (40), preferably in the form of a complete measurement table (cMF) comprising at least one measurement value.
14. A computer-readable medium comprising instructions which, when executed by a computer, cause the computer to perform the steps of at least one of the methods according to any one of claims 1 to 11.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/EP2019/074136 WO2021047766A1 (en) | 2019-09-10 | 2019-09-10 | Computer-implemented method for providing a standardized position for anatomic structural data of a patient scan, computer-implemented method for performing standardized measurement on anatomic structural data of a patient scan, data processing system and computer-readable medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114097001A true CN114097001A (en) | 2022-02-25 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980098101.8A Pending CN114097001A (en) | 2019-09-10 | 2019-09-10 | Computer-implemented method for providing a standardized location for anatomical data of a patient scan, computer-implemented method for performing standardized measurements on anatomical data of a patient scan, data processing system and computer-readable medium |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20220292793A1 (en) |
| EP (1) | EP4028997A1 (en) |
| JP (1) | JP2022546794A (en) |
| KR (1) | KR20220062259A (en) |
| CN (1) | CN114097001A (en) |
| WO (1) | WO2021047766A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8538570B2 (en) * | 2009-09-11 | 2013-09-17 | University Of Delaware | Process and system for manufacturing a customized orthosis |
| EP2890261A4 (en) * | 2012-08-31 | 2016-04-13 | Spenco Medical Corp | Basketball insole |
| US20140120319A1 (en) * | 2012-11-01 | 2014-05-01 | Benjamin E. Joseph | 3d mapping using structured light and formation of custom surface contours |
| US10674789B2 (en) * | 2014-08-05 | 2020-06-09 | Nike, Inc. | Sole structure for an article of footwear with spaced recesses |
| US10244818B2 (en) * | 2015-02-18 | 2019-04-02 | Clemson University Research Foundation | Variable hardness orthotic |
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2019
- 2019-09-10 EP EP19769420.1A patent/EP4028997A1/en active Pending
- 2019-09-10 JP JP2021577345A patent/JP2022546794A/en active Pending
- 2019-09-10 WO PCT/EP2019/074136 patent/WO2021047766A1/en unknown
- 2019-09-10 US US17/639,661 patent/US20220292793A1/en active Pending
- 2019-09-10 KR KR1020227001016A patent/KR20220062259A/en active Search and Examination
- 2019-09-10 CN CN201980098101.8A patent/CN114097001A/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022546794A (en) | 2022-11-09 |
| KR20220062259A (en) | 2022-05-16 |
| EP4028997A1 (en) | 2022-07-20 |
| US20220292793A1 (en) | 2022-09-15 |
| WO2021047766A1 (en) | 2021-03-18 |
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